Evidence map›Paper›PMID 18787691›Full record

ArticlePLoS computational biology2008

Identifying the important HIV-1 recombination breakpoints.

John Archer, John W Pinney, Jun Fan, Etienne Simon-Loriere, Eric J Arts, Matteo Negroni, David L Robertson

Abstract read
In one paragraph

Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Revisiting the recombinant history of HIV-1 group M with dynamic network community detection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
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  9. Article
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  11. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Recombination in viruses: mechanisms, methods of study, and evolutionary consequences.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2015
    Review
  20. Genetic Consequences of Antiviral Therapy on HIV-1.Computational and mathematical methods in medicine · 2015
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

John ArcherFaculty of Life Sciences, University of Manchester, Manchester, United Kingdom.
John W Pinney
Jun Fan
Etienne Simon-Loriere
Eric J Arts
Matteo Negroni
David L Robertson

Funding

Impact of HIV-1 Fitness on Disease ProgressionR01AI049170 · NIAID · UNIVERSITY OF WESTERN ONTARIO · PI ARTS, ERIC J · 2002 to 2024
$6.8M
Biotechnology and Biological Sciences Research Council BB/C515412/1NIAID NIH HHS R01 AI049170
6 · The paper itself

Abstract

Recombinant HIV-1 genomes contribute significantly to the diversity of variants within the HIV/AIDS pandemic. It is assumed that some of these mosaic genomes may have novel properties that have led to their prevalence, particularly in the case of the circulating recombinant forms (CRFs). In regions of the HIV-1 genome where recombination has a tendency to convey a selective advantage to the virus, we predict that the distribution of breakpoints--the identifiable boundaries that delimit the mosaic structure--will deviate from the underlying null distribution. To test this hypothesis, we generate a probabilistic model of HIV-1 copy-choice recombination and compare the predicted breakpoint distribution to the distribution from the HIV/AIDS pandemic. Across much of the HIV-1 genome, we find that the observed frequencies of inter-subtype recombination are predicted accurately by our model. This observation strongly indicates that in these regions a probabilistic model, dependent on local sequence identity, is sufficient to explain breakpoint locations. In regions where there is a significant over- (either side of the env gene) or under- (short regions within gag, pol, and most of env) representation of breakpoints, we infer natural selection to be influencing the recombination pattern. The paucity of recombination breakpoints within most of the envelope gene indicates that recombinants generated in this region are less likely to be successful. The breakpoints at a higher frequency than predicted by our model are approximately at either side of env, indicating increased selection for these recombinants as a consequence of this region, or at least part of it, having a tendency to be recombined as an entire unit. Our findings thus provide the first clear indication of the existence of a specific portion of the genome that deviates from a probabilistic null model for recombination. This suggests that, despite the wide diversity of recombinant forms seen in the viral population, only a minority of recombination events appear to be of significance to the evolution of HIV-1.

Indexed as

Models, GeneticRecombination, GeneticComputational BiologyEvolution, MolecularGenes, envGenetic VariationGenome, ViralHIV-1HIV InfectionsHumansModels, StatisticalRNA, ViralRNA, Viral

Identifiers

PMID18787691
PMCPMC2522274

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.